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  1. Colorful datapoints forming the shape of a human face
    Agentic AI and Automation

    What happens to humans after we automate?

    Discover the benefits of intelligent automation and how humans and digital coworkers are working together to achieve business optimization.

  2. Autonomous technology working in a garden
    AI Use Cases

    Autonomous technology: Thinking beyond automobiles

    Learn what autonomous technology is, popular use cases beyond autonomous vehicles, its many benefits and the challenges faced by organizations today.

  3. Photo of a person driving a car with the car's GPS system in view
    Computer VisionAutomotive

    Driver monitoring systems: Needs, regulations, popular use cases and trends

    Driver monitoring systems (DMS) are proving to be effective in helping prevent accidents due to driver drowsiness or inattention. Learn all about these AI-backed systems.

  4. Illustration of numerous people making the "Break the Bias" gesture
    Responsible AI

    Closing the gender data gap in AI

    What is the gender data gap in artificial intelligence (AI) and what can companies do to ensure more inclusive AI data practices? Discover key insights and learnings.

  5. Hundreds of brightly colored lines on a black background. On the left of the image the colored lines are mixed together. In the middle of the image you can see the lines twisting and beginning to sort themselves into specific colors. On the right of the image, all lines are grouped together by color.
    AI Best Practices

    Automation: The antidote to overcoming data labeling inefficiencies

    Learn how machine learning assisted automation speeds up data labeling and improves dataset accuracies for computer vision teams.

  6. A variety of men and women walking up a set of stairs in a public space. Each man has a yellow bounding box around them, with the label "Male" and each woman has a blue bounding box around them, with the label "Female."
    Computer Vision

    A guide to building training data for computer vision models

    Explore what is involved in the collection and labeling of training data that is used to build computer vision models.

  7. Video annotation of cars driving
    Computer VisionAutomotive

    Video annotation for computer vision

    Video annotation enriches video data by adding object information tags across every frame. Discover different video annotations, their popular computer vision applications and the benefits of video labeling automation.

  8. A large checkmark overlaid on binary code.
    Data Annotation

    The ultimate checklist for outsourcing your data labeling pipeline

    Choosing a data annotation partner is one of the most crucial decisions machine learning teams can make because it directly affects their go-to-market strategy. Crucial decisions call for careful planning. Explore our checklist to help you find the right AI data solutions partner.

  9. A city street which includes tall buildings, cars, streetlights and pedestrians. Each object is colored differently to represent instance segmentation for autonomous vehicles.
    Computer Vision

    Your complete guide to image segmentation

    Discover a robust guide to image segmentation, a data labeling technique used to segment object pixels to train computer vision models

  10. Illustration of person drawing a route through a maze, meant to symbolize decision-making
    AI Best Practices

    A realistic decision framework for your data labeling strategy

    Learn more about the myths surrounding data labeling workflows and budgets in order to build effective labeling strategies for machine learning.

  11. Man on computer
    Data Annotation

    How to select the best data annotation company

    As the list of managed data service providers grows, how do you decide which to trust? Find tips for selecting the right data annotation company for your project.

  12. Illustration of people teaching and feeding information into what is meant to represent artificial intelligence
    AI Use Cases

    A primer for understanding reinforcement learning

    Reinforcement learning is a dynamic AI tool that can help improve business decision-making processes. Learn more about its unique value proposition in this primer.

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